code: def get_peak_output_ratio_across_workers(allocation_counts):
      peak_ratio = -1
      for w_allocations in allocation_counts.values():
          w_peak_ratio = (
              w_allocations["peak_bytes"]
              / w_allocations["current_bytes"]
          )
          peak_ratio = max(w_peak_ratio, peak_ratio)
      return peak_ratio
  
imports: import os
  import tempfile
  from pprint import pformat
  import time
  from dask.distributed import wait, default_client
  from dask import persist
  from dask.distributed import Client
  from dask.base import is_dask_collection
  from dask_cuda import LocalCUDACluster
  from dask_cuda.initialize import initialize
  from cugraph.dask.comms import comms
  from cugraph.dask.common.mg_utils import get_visible_devices
  from cugraph.generators import rmat
  import numpy
label_desc: Use image node_id 15 for calling a global function with example usage: get_peak_output_ratio_across_workers(allocation_counts) and returns: peak_ratio